Yasumasa Onoe

Publications

• DOCCI: Descriptions of Connected and Contrasting Images, arXiv 2024. Yasumasa Onoe, Sunayana Rane, Zachary Berger, Yonatan Bitton, Jaemin Cho, Roopal Garg, Alexander Ku, Zarana Parekh, Jordi Pont-Tuset, Garrett Tanzer, Su Wang, and Jason Baldridge
• ImageInWords: Unlocking Hyper-Detailed Image Descriptions, arXiv 2024. Roopal Garg, Andrea Burns, Burcu Karagol Ayan, Yonatan Bitton, Ceslee Montgomery, Yasumasa Onoe, Andrew Bunner, Ranjay Krishna, Jason Baldridge, and Radu Soricut
• Revisiting Text-to-Image Evaluation with Gecko: On Metrics, Prompts, and Human Ratings, arXiv 2024. Olivia Wiles, Chuhan Zhang, Isabela Albuquerque, Ivana Kajić, Su Wang, Emanuele Bugliarello, Yasumasa Onoe, Chris Knutsen, Cyrus Rashtchian, Jordi Pont-Tuset, and Aida Nematzadeh
• Propagating Knowledge Updates to LMs Through Distillation, Neurips 2023. Shankar Padmanabhan, Yasumasa Onoe, Michael J.Q. Zhang, Greg Durrett, and Eunsol Choi
• Can LMs Learn New Entities from Descriptions? Challenges in Propagating Injected Knowledge, ACL 2023. Yasumasa Onoe, Michael J.Q. Zhang, Shankar Padmanabhan, Greg Durrett, and Eunsol Choi
• Imagen Editor and EditBench: Advancing and Evaluating Text-Guided Image Inpainting, arXiv. Su Wang, Chitwan Saharia, Ceslee Montgomery, Jordi Pont-Tuset, Shai Noy, Stefano Pellegrini, Yasumasa Onoe, Sarah Laszlo, David J. Fleet, Radu Soricut, Jason Baldridge, Mohammad Norouzi, Peter Anderson, William Chan
• Entity Cloze By Date: What LMs Know About Unseen Entities, NAACL 2022 Findings. Yasumasa Onoe, Michael J.Q. Zhang, Eunsol Choi, and Greg Durrett
• Improving and Diagnosing Knowledge-Based Visual Question Answering via Entity Enhanced Knowledge Injection, MUWS Workshop at WWW 2022. Diego Garcia-Olano, Yasumasa Onoe, and Joydeep Ghosh
• Cross-Lingual Fine-Grained Entity Typing, arXiv 2021. Nila Selvaraj, Yasumasa Onoe, and Greg Durrett
• CREAK: A Dataset for Commonsense Reasoning over Entity Knowledge, NeurIPS 2021 Datasets and Benchmarks Track. Yasumasa Onoe, Michael J.Q. Zhang, Eunsol Choi, and Greg Durrett [code]
• Modeling Fine-Grained Entity Types with Box Embeddings, ACL 2021. Yasumasa Onoe, Michael Boratko, Andrew McCallum, and Greg Durrett [code]
• Biomedical Interpretable Entity Representations, ACL 2021 Findings. Diego Garcia-Olano, Yasumasa Onoe, Ioana Baldini, Joydeep Ghosh, Byron Wallace and Kush Varzney [code]
• Interpretable Entity Representations through Large-Scale Typing, EMNLP 2020 Findings. Yasumasa Onoe and Greg Durrett [code]
• Fine-Grained Entity Typing for Domain Independent Entity Linking, AAAI 2020. Yasumasa Onoe and Greg Durrett [code] [poster]
• Learning to Denoise Distantly-Labeled Data for Entity Typing, NAACL 2019. Yasumasa Onoe and Greg Durrett [code] [poster]
• Gated Word-Character Recurrent Language Model, EMNLP 2016. Yasumasa Miyamoto (Onoe) and Kyunghyun Cho [code]